The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19)
Electrocardiographic (ECG) findings in patients admitted with COVID-19 and a decision tree to predict their survival were assessed. 145 consecutive patients with severe COVID-19 infection were selected. Patient demographics, ECG variables, peak troponins, use of standard medications, and clinical ou...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-05-01
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| Series: | Indian Pacing and Electrophysiology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0972629221000243 |
| _version_ | 1818409553072488448 |
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| author | Aniruddha Singh Muhammad S. Akbar Doug McElroy Matthew McCurdy Fletcher Young Jayshree Thomas Chrystie Nguyen Kristopher S. Pfirman |
| author_facet | Aniruddha Singh Muhammad S. Akbar Doug McElroy Matthew McCurdy Fletcher Young Jayshree Thomas Chrystie Nguyen Kristopher S. Pfirman |
| author_sort | Aniruddha Singh |
| collection | DOAJ |
| description | Electrocardiographic (ECG) findings in patients admitted with COVID-19 and a decision tree to predict their survival were assessed. 145 consecutive patients with severe COVID-19 infection were selected. Patient demographics, ECG variables, peak troponins, use of standard medications, and clinical outcomes were analyzed using descriptive and inferential statistics, and a predictive model of survival was developed using classification tree analysis. Of the 145 admitted patients, 38 (26%) died. Deceased patients were more likely to have a significantly higher incidence of poor R-Wave progression [6 of 37 (16.2%) Vs. 0 of 104 (0%), p < 0.001] as well as prolonged QTc values [24 of 37 (64.9%) Vs. 38 of 99 (38.4%), p 0.006]. Significant ST segment depressions were found in 5 of 37 (13.5%) of the deceased category compared to 0% in the non-deceased (p < 0.01). Right and/or left atrial enlargement was more prevalent in the deceased cohort [7 of 37 (18.9%) Vs. 4 of 104 (3.8%), p = 0.03]. Bundle branch blocks were more prevalent in the deceased group [9 of 35 (25.8%) Vs. 7 of 104 (6.7%), p 0.002]. Peak troponins were significantly higher in the deceased group (1.0 Vs 0.07 ng/ml, p < 0.001) A prediction tree built utilizing age, PACs, troponins and QTc had an accuracy of 85.5%. 65 of 74 patients (87.8%) were correctly predicted to survive, while 23 of 29 (79.3%) were correctly predicted to become deceased. Among patients hospitalized with Covid-19, the parameters of age, QT interval, troponin and PACs are useful for prognostication and help predict survival with reasonable accuracy. |
| first_indexed | 2024-12-14T10:01:27Z |
| format | Article |
| id | doaj.art-8f7f2288a792448b8aaa5794a20cdb4c |
| institution | Directory Open Access Journal |
| issn | 0972-6292 |
| language | English |
| last_indexed | 2024-12-14T10:01:27Z |
| publishDate | 2021-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Indian Pacing and Electrophysiology Journal |
| spelling | doaj.art-8f7f2288a792448b8aaa5794a20cdb4c2022-12-21T23:07:16ZengElsevierIndian Pacing and Electrophysiology Journal0972-62922021-05-01213156161The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19)Aniruddha Singh0Muhammad S. Akbar1Doug McElroy2Matthew McCurdy3Fletcher Young4Jayshree Thomas5Chrystie Nguyen6Kristopher S. Pfirman7Department of Cardiology, The Medical Center – Bowling Green, Western Kentucky Heart, Lung, and Gastroenterology, USADepartment of Cardiology, The Medical Center – Bowling Green, Western Kentucky Heart, Lung, and Gastroenterology, USAWestern Kentucky University, Bowling Green, KY, USAThe Medical Center, Bowling Green, KY, USAKentucky College of Osteopathic Medicine, Pikeville, KY, USAKentucky College of Osteopathic Medicine, Pikeville, KY, USAKentucky College of Osteopathic Medicine, Pikeville, KY, USADepartment of Cardiology, Graduate Medical Education, The Medical Center – Bowling Green, Western Kentucky Heart, Lung, and Gastroenterology, USA; Corresponding author.Electrocardiographic (ECG) findings in patients admitted with COVID-19 and a decision tree to predict their survival were assessed. 145 consecutive patients with severe COVID-19 infection were selected. Patient demographics, ECG variables, peak troponins, use of standard medications, and clinical outcomes were analyzed using descriptive and inferential statistics, and a predictive model of survival was developed using classification tree analysis. Of the 145 admitted patients, 38 (26%) died. Deceased patients were more likely to have a significantly higher incidence of poor R-Wave progression [6 of 37 (16.2%) Vs. 0 of 104 (0%), p < 0.001] as well as prolonged QTc values [24 of 37 (64.9%) Vs. 38 of 99 (38.4%), p 0.006]. Significant ST segment depressions were found in 5 of 37 (13.5%) of the deceased category compared to 0% in the non-deceased (p < 0.01). Right and/or left atrial enlargement was more prevalent in the deceased cohort [7 of 37 (18.9%) Vs. 4 of 104 (3.8%), p = 0.03]. Bundle branch blocks were more prevalent in the deceased group [9 of 35 (25.8%) Vs. 7 of 104 (6.7%), p 0.002]. Peak troponins were significantly higher in the deceased group (1.0 Vs 0.07 ng/ml, p < 0.001) A prediction tree built utilizing age, PACs, troponins and QTc had an accuracy of 85.5%. 65 of 74 patients (87.8%) were correctly predicted to survive, while 23 of 29 (79.3%) were correctly predicted to become deceased. Among patients hospitalized with Covid-19, the parameters of age, QT interval, troponin and PACs are useful for prognostication and help predict survival with reasonable accuracy.http://www.sciencedirect.com/science/article/pii/S0972629221000243COVID-19ElectrocardiogramArrhythmiaTelemetryTroponinHydroxychloroquine |
| spellingShingle | Aniruddha Singh Muhammad S. Akbar Doug McElroy Matthew McCurdy Fletcher Young Jayshree Thomas Chrystie Nguyen Kristopher S. Pfirman The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) Indian Pacing and Electrophysiology Journal COVID-19 Electrocardiogram Arrhythmia Telemetry Troponin Hydroxychloroquine |
| title | The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) |
| title_full | The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) |
| title_fullStr | The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) |
| title_full_unstemmed | The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) |
| title_short | The electrocardiographic manifestations and derangements of 2019 novel coronavirus disease (COVID-19) |
| title_sort | electrocardiographic manifestations and derangements of 2019 novel coronavirus disease covid 19 |
| topic | COVID-19 Electrocardiogram Arrhythmia Telemetry Troponin Hydroxychloroquine |
| url | http://www.sciencedirect.com/science/article/pii/S0972629221000243 |
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